Detect Issues Before Users Notice
AI-powered observability that learns your system's normal behavior to predict issues hours before they impact users.
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Proactive Detection and Analysis
AI-powered insights that help you stay ahead of performance issues
Anomaly Detection
Prevent user-facing incidents by catching issues early. AI learns your system's normal patterns and alerts you to deviations that matter. Identify anomalies 4 hours before they become incidents, compared to reactive threshold alerts.
Predictive Analytics
Stop problems before they start with advance warning. Machine learning analyzes historical patterns to forecast capacity issues, performance degradation, and failures. Get predictions 48-72 hours before impact, giving your team time to prevent incidents proactively.
Root Cause Analysis
Resolve incidents 80% faster by instantly identifying the source. AI correlates signals across your distributed systems to pinpoint the exact component or service causing issues. Cut mean time to resolution from hours to minutes, compared to manual log analysis.
Smart Alerts
End alert fatigue with intelligent notifications that learn what matters to your team. AI adapts based on how you respond, suppressing noisy false positives and prioritizing actionable issues. Reduce alert volume by 90% compared to threshold-based systems, while catching more real problems.
Universal Integration
Start monitoring in minutes without replacing your existing tools. Connect to AWS, GCP, Azure, Kubernetes, Datadog, New Relic, and 50+ platforms via pre-built integrations. For example, link your Kubernetes cluster in 3 clicks and see insights within 5 minutes.
Auto-Remediation
Resolve common issues instantly without manual intervention. Define pre-approved remediation workflows (like restarting a service or scaling capacity) that AI triggers automatically with full audit logs and rollback. For instance, automatically scale up when CPU hits 80%, then scale down when load normalizes.
Proven in Early Access
Teams using obsdeck in pilot programs are seeing real results
We reduced our mean time to resolution by 73% after implementing obsdeck. What used to take 2-3 hours now takes 20-30 minutes.
Sarah Chen
Engineering Manager, 50-person fintech startup
obsdeck caught a memory leak 8 hours before it would have caused an outage. We fixed it during business hours instead of being paged at 2 AM.
Marcus Rodriguez
SRE Lead, Series B SaaS company
Dr. Alex Kumar
CTO & Co-Founder
Previously led ML infrastructure at Datadog, building anomaly detection systems that processed 1M+ metrics per second for 15,000+ customers. Bringing 12 years of observability expertise to predictive monitoring.